June 7, 2024, 4:43 a.m. | Ois\'in M. Morrison, Federico Pichi, Jan S. Hesthaven

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.03569v1 Announce Type: cross
Abstract: This work presents a novel resolution-invariant model order reduction strategy for multifidelity applications. We base our architecture on a novel neural network layer developed in this work, the graph feedforward network, which extends the concept of feedforward networks to graph-structured data by creating a direct link between the weights of a neural network and the nodes of a mesh, enhancing the interpretability of the network. We exploit the method's capability of training and testing on …

abstract applications architecture arxiv concept cs.lg cs.na data graph layer math.na network networks neural network novel resolution strategy structured data the graph type work

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